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Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Senior Data Engineer (Contract) Duration: 6 Months (Possibility for extension) Location: London/Hybrid (3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile We are seeking a highly skilled Senior Data Engineer with strong expertise in Python and Databricks to design, build, and optimise scalable data pipelines and platforms. You will play a key role in enabling data-driven decision-making by delivering reliable, efficient, and high-quality data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and Databricks Build and optimise ETL/ELT workflows leveraging Databricks (Spark, Delta Lake) Develop robust data models and data architectures on Lakehouse platforms Implement and manage data workflows within the Databricks ecosystem Ensure high data quality, governance, and reliability across pipelines Optimise performance of large-scale distributed data processing Collaborate with data scientists and analysts to support analytics and ML Implement monitoring, logging, and alerting for data systems Mentor junior engineers and drive engineering best practices Skills & Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark / PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS / Azure / GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience with streaming data pipelines (Kafka, Structured Streaming) Experience with CI/CD and DevOps practices Knowledge of Delta Lake features (time travel, CDC, optimisation) Experience with containerisation (Docker, Kubernetes) Exposure to ML pipelines on Databricks Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Salesforce Marketing Deployment Manager - 12 months - onsite - London - £455 The successful candidate will act as the primary SFMC delivery resource, responsible for scaling the engagement by building and optimising customer journeys, driving personalisation at scale, and providing a clear execution and strategy roadmap. This role operates at the intersection of campaign operations, marketing technology, and client advisory - requiring someone who can equally command a technical delivery conversation and a strategy session. Required Skills & Experience Core SFMC Expertise Minimum 4+ years of hands-on Salesforce Marketing Cloud implementation and campaign deployment experience. Proficiency in Journey Builder, Email Studio, Automation Studio, Content Builder, and Contact Builder. Strong AMPscript and/or SSJS Scripting capability for dynamic content and personalisation logic. Experience with SQL in SFMC for data segmentation, data extension population, and reporting queries. Familiarity with Einstein AI tools and Marketing Cloud Intelligence (Datorama) is advantageous. Campaign & Delivery Management Proven track record of managing full campaign life cycle - from brief through to live deployment and post-campaign analysis. Experience building and maintaining delivery roadmaps in agile/sprint-based delivery environments. Strong QA discipline & release sign-off processes. Familiarity with email deliverability principles: IP warming, sender reputation management, bounce and suppression handling. Communication & Stakeholder Management Exceptional verbal and written communication skills - able to operate confidently at C-suite/Director level. Demonstrated ability to translate complex technical concepts into clear business language for non-technical audiences. Experience presenting to and influencing senior client stakeholders in a consulting or agency environment. Ability to manage competing priorities across multiple stakeholder groups while maintaining delivery momentum. Desirable Qualifications & Certifications Salesforce Marketing Cloud Email Specialist certification (basic). Salesforce Marketing Cloud Consultant certification (preferred). Additional Salesforce certifications (eg Marketing Cloud Developer, Pardot) are advantageous. Familiarity with GDPR, PECR, and email compliance obligations in a regulated industry context. Success Profile The ideal candidate is a confident, commercially aware SFMC specialist who thrives in client-facing environments. They bring equal measures of technical credibility and strategic thinking - able to roll up their sleeves to build a journey in SFMC in the morning and present a roadmap recommendation to a client director in the afternoon. They are proactive communicators who don't wait to be asked - they surface risks early, bring solutions not just problems, and build genuine trust with client stakeholders. They see their role not just as a deployment resource, but as a strategic partner helping the client mature their use of SFMC over time. Key Responsibilities 1. Customer Journey Build & Expansion Design, build, and deploy multi-step customer journeys in SFMC Journey Builder. Translate client business requirements into scalable, reusable journeys that can be deployed across multiple customer segments. Configure and maintain journey entry sources including Data Extensions, Salesforce CRM entry events. Proactively identify opportunities to build net-new journeys that address gaps in the current customer life cycle coverage. 2. Personalisation & Dynamic Content Strategy Develop and implement advanced personalisation strategies using AMPscript, dynamic content rules, and preference-driven segmentation within SFMC. Leverage data from Salesforce CRM, external data extensions, and Marketing Cloud Connect to create hyper-relevant, 1:1 customer communication. Collaborate with the client's data and analytics teams to identify propensity signals that can power journey personalisation. Ensure personalisation strategies are aligned with compliance requirements (GDPR/PECR) and consent management frameworks. 3. Execution & Strategy Roadmap Work directly with client stakeholders to define execution roadmap for SFMC campaign delivery and capability development. Bridge the gap between strategic marketing ambitions and technical delivery realities - translating vision into actionable sprint-level deliverables. Present roadmap progress, risks, and recommendations to senior client stakeholders in regular governance forums and executive briefings. Proactively manage dependencies across campaign operations, data engineering, and CRM teams to ensure unblocked delivery. Champion SFMC platform best practices across email design, data management, journey architecture, deliverability, and compliance. Conduct regular health-checks of the SFMC instance and produce actionable recommendations covering data extension governance, contact model hygiene, and suppression management. Define and document campaign deployment standards, naming conventions, and QA checklists to be adopted across the engagement team. Guide the client on emerging SFMC features, upcoming platform roadmap changes, and their strategic relevance to the programme. Act as a centre-of-excellence resource - upskilling client-side marketing operations staff through knowledge transfer, documentation, and hands-on coaching. 5. Client Stakeholder Engagement Serve as the primary day-to-day point of contact for client marketing operations, digital, and technology stakeholders. Produce clear, concise status reports, delivery plans, and strategic briefing documents tailored to different audience levels. Build trusted, long-term relationships with client stakeholders - positioning Cognizant as a strategic partner, not just a delivery vendor. Manage and communicate scope, timelines, and change requests proactively to avoid delivery risk and stakeholder misalignment.

Data Architect - Palantir Foundry (Health Domain) Location: UK (Hybrid) Travel: Leeds 1-2 days per week Rate: Up to £700 per day (Inside IR35) Contract Only Clearance: SC Eligible Required The Opportunity We are looking for a highly experienced Data Architect with deep expertise in Palantir Foundry to lead the design, modelling, and governance of next-generation data platforms across the UK healthcare sector. This role offers the opportunity to work on large-scale, high-impact programmes , shaping how clinical, operational, and population-level insights are delivered using one of the world's most advanced data platforms. Key Responsibilities Lead end-to-end architecture of Palantir Foundry, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications Own and evolve the enterprise ontology , defining object types, links, actions, and semantic relationships across clinical and operational domains Design scalable, modular, and governed data pipelines , following Foundry best practices (DRY principles, no circular dependencies) Integrate structured, unstructured, streaming, and IoT/device datasets using Foundry ingestion frameworks Deliver ontology-driven data products , including: KPIs and analytics frameworks Data marts Clinical Pathway and care coordination insights Workforce planning and command centre capabilities Implement robust data governance , including: Security and classification models Purpose-based access controls Full lineage, auditability, and regulatory compliance Collaborate closely with clinicians, analysts, engineers, DevOps teams, and senior stakeholders (Desirable) Support Foundry deployments on AWS (S3, KMS, multi-AZ, CloudWatch, Well-Architected Framework) Required Experience Extensive hands-on Palantir Foundry expertise (pipelines, transforms, ontology, governance, operational apps) Strong understanding of healthcare datasets , including: EPR/PAS FHIR/HL7 Clinical coding and workforce data Proven experience in: Enterprise data modelling/semantic layer/ontology design Delivering within regulated environments (NHS, ICS, Government, or large healthcare providers) Strong stakeholder management and communication skills , with the ability to influence at all levels Highly Desirable Palantir Foundry Solution Architect Certification AWS Solutions Architect (Associate/Professional) TOGAF/BCS Enterprise Architecture Preferred Skills Knowledge of interoperability standards ( FHIR, HL7v2, SNOMED CT ) Experience with AWS-based data platforms Familiarity with DevOps practices (CI/CD, IaC, GitOps) Experience designing data quality and governance frameworks Why Apply? Work on national-scale healthcare transformation programmes Influence cutting-edge data architecture decisions Competitive day rate up to £700 Inside IR35 Flexible hybrid working Apply now with your CV or get in touch for a confidential discussion. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

Job Title: Senior Delivery Manager Salary: £50,900 - £68,000 Location: Cambridge/Hybrid with 40-60% of time in the office Contract: Permanent Hours: Full time 35 hours per week Are you passionate about agile delivery and enabling teams to deliver impactful, data-driven outcomes? We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. We're looking for an experienced Senior Delivery Manager to join our growing team and help lead the delivery of enterprise data, transformation, and visualisation products and services. In this pivotal role, you'll work within a product-focused, cross-functional team delivering application and enterprise-level data capabilities, including data warehousing, transformation, reporting, and insight solutions. You'll foster a culture of continuous improvement, enable high-performing team, and help shape the delivery approach across a complex technology landscape. About the role What you will do: Champion agile values and principles, acting as a role model for collaboration, transparency, continuous improvement, and servant leadership. Lead and support a cross-functional team delivering data and digital capabilities in a complex enterprise environment. Facilitate effective delivery through strong planning, dependency management, risk management, and stakeholder engagement. Help teams optimise flow, improve predictability, and continuously improve ways of working. Own and support release and delivery management processes, ensuring robust governance and successful product launches. Collaborate closely with Product Owners and Technical leads to support prioritisation, road-mapping, budgeting, and strategic planning. Build strong relationships with business and technology stakeholders across the organisation. Work closely with Service Delivery Managers to ensure effective operational management of live services, including incident, problem, and change management considerations. Ensure technical debt, platform stability, resilience, and operational sustainability are appropriately represented in planning and prioritisation. Identify and manage risks, dependencies, and delivery impediments across teams and workstreams. Coach and support the development of colleagues and contribute to the evolution of agile delivery practices across the organisation. This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition. About You Proven experience leading agile delivery within cross-functional technology teams using Scrum, Kanban, or scaled agile approaches. Strong understanding of agile principles, lean delivery practices, and continuous improvement. Experience delivering complex technology, data, analytics, or transformation initiatives in enterprise environments. Strong leadership and facilitation skills, with the ability to influence and motivate teams without direct line management responsibility. Excellent communication, stakeholder management, and problem-solving skills. A data-informed mindset, with a focus on outcomes, experimentation, learning, and delivering measurable value. Experience working closely with engineering, architecture, product, and operational teams. If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: Experience delivering enterprise data warehousing, data transformation, BI, analytics, or visualisation solutions. Experience working with cloud data platforms and modern data ecosystems. Familiarity with operational service management practices and ITIL environments. If you're ready to lead with agility, enable high-performing teams, and help deliver meaningful enterprise transformation, we'd love to hear from you! For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package , featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be Date . We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after. Please expect the following process when applying or this position. Your CV without a cover letter 4 application questions First stage virtual interview via MS Teams. You will be provided with a brief to complete a role related task which will need to be returned by email in advance of your interview. Final stage interview: in-person at our offices in Cambridge. If you require any reasonable adjustments during the recruitment process due to a disability or a long-term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter. Why join us Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities. Documents JD_BI&A Senior Delivery Manager June26 .pdf (42.39 KB)

About the Role We are looking for a senior Product Data leader to define and drive the product data strategy across a portfolio of SaaS products. This role will be responsible for establishing telemetry standards, building scalable event-driven data architectures, creating governed data products, and enabling data-driven decision-making across Product, Engineering, Customer Success, Sales, and Leadership teams. You will lead the design of product instrumentation frameworks, develop shared data models, and ensure product usage, engagement, and outcome metrics are trusted, scalable, and actionable. Working closely with Product, Engineering, and Data teams, you will help build a strong foundation for analytics, reporting, and customer-facing insights. Key Responsibilities Define and own the product data strategy across multiple products. Lead the design and implementation of telemetry and event-tracking architecture. Establish instrumentation standards, event schemas, naming conventions, and governance practices. Build and maintain scalable product data products, datasets, and KPI frameworks. Develop shared data models for usage, engagement, and outcome measurement. Partner with Product and Engineering teams to align measurement frameworks with business objectives. Deliver dashboards, insights, and reporting that support strategic decision-making. Evaluate and implement appropriate analytics and data platform technologies. Ensure data quality, governance, privacy, and compliance standards are maintained. Build and mentor a high-performing Product Data team. Required Experience 5+ years in Product Data, Product Analytics, Analytics Engineering, or a related leadership role. Strong experience designing telemetry architectures and product instrumentation frameworks. Experience building and managing event-driven data pipelines. Proven track record partnering with Product and Engineering teams to define metrics and measurement strategies. Hands-on experience with modern data platforms such as Databricks, Snowflake, BigQuery, or similar. Strong SQL and Python skills. Experience creating reusable data assets, analytics solutions, and governed reporting frameworks. Leadership experience managing or mentoring technical teams. Excellent stakeholder management and communication skills.

Senior Software Engineer I - Search and AI PlatformApplylocations: London: Amsterdamtime type: Full timeposted on: Posted Todayjob requisition id: R114443 Senior Software Engineer I - Search and AI Platform Are you passionate about building scalable, high-performance data-driven applications? Do you enjoy turning complex datasets into robust, reliable systems that deliver real business impact? About the team: The Search and AI Platform is Elsevier's agentic data platform, which powers products such as LeapSpace, Scopus, ScienceDirect, Clinical Key, Reaxys, and our next-generation AI powered search systems. The platform uses agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data to deliver insights to the scientific community so they can collaborate more effectively, work smarter, and deliver quality research more quickly.We are looking for an innovative, passionate Senior Software Engineer II to work as part of the teams building and enhancing our platform to deliver intelligent, scalable solutions that create real value for our clients. About the role: The Shared Graph Team is a core part of Elsevier's Search and AI Platform . This team builds structured queries based on relationships and entity metadata hydration, enabling advanced traversal, discovery, and recommendation systems. As a Senior Software Engineer II , you will work with a passionate team that delivers scalable, reliable, and innovative solutions that accelerate scientific discovery. Key responsibilities: Design and implement graph-based search services. Develop applications using Java , Spring Boot, Spring, GraphQL , and GraphQL Federation . Integrate with databases, web services, or AWS services (Neo4j, DynamoDB, RDS, S3, Parameter Store, SQS, SNS, Kinesis) to support ingestion, storage, and messaging pipelines. Champion clean code, SOLID principles, and engineering best practices , setting standards and mentoring engineers. Collaborate with product managers and engineering teams to deliver advanced search and recommendation features. Ensure robust monitoring and logging with New Relic and Coralogix , driving reliability and performance. Requirements: 4+ years of professional software engineering experience in distributed systems or search platforms. Proven track record building scalable backend systems and APIs. Strong expertise in Java and the Spring Boot ecosystem . Hands-on experience with GraphQL API/REST APIs design. Solid background in cloud-native architectures with AWS and Kubernetes (EKS) . An advocate of best practices for rapid development of quality software, including SOLID principles, clean code, architectural design patterns, CI/CD Familiarity with Agile, Kanban, or other iterative development methodologies. Comfortable learning new technologies, languages, and tools on the job, to ensure that the product is not left behind in a rapidly evolving ecosystem An inclusive, positive, collaborative mindset and a desire to deliver real business value to our customers Nice to have: Experience with Apollo Router or advanced GraphQL federation strategies. Background in data modelling for graph-based systems . Familiarity with search platforms or AI-driven discovery systems. Experience working in high-throughput, distributed systems Why join us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.If performed in NLD Amsterdam (Radarweg), the base pay range is €86,900 - €144,600.This job may be subject to a collective labor agreement in the Netherlands. Please consult with the hiring team for further details. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Data Engineer Lead - Tier 1 Bank - London - 6 months Role - Data Engineer Lead Rate - 700 per day (Inside IR35) Duration - 6 months with very likely extension Location - Hybrid / Liverpool Street - 3 days per week in an office in Liverpool Street (London) Responsibilities The Data Engineer Lead is responsible for designing, building, and supporting a modern data platform, with a particular focus on Databricks, cloud-based data engineering, and leading the migration of legacy Oracle systems into scalable, cloud-native environments. The role supports the organisation's data strategy especially on Finance and Regulatory domain by ensuring high-quality, reliable pipelines and data models that enable analytics, regulatory reporting, and data-driven decision-making. The post holder plays a key leadership role within the Data Engineering function, shaping architectural direction, ensuring engineering excellence, and partnering with Technology, Architecture, and Business teams across the organisation. Tech Stack SQL Oracle Python ETL Background The bank is migrating from an on-premise Oracle estate to a modern data platform built on cloud and Databricks. This role leads the design, implementation, and optimisation of the Data Mart and migration processes, ensuring alignment with enterprise data architecture and compliance standards. Core Responsibilities Databricks / Modern Data Platform Engineering Lead the design and development of Data Marts using Databricks (SQL / Python). Follow engineering best practices including version control, CI/CD, orchestration, and environment management. Ensure governance, performance optimisation. Legacy Oracle Migration Leadership Lead and coordinate the migration of data assets from Oracle database systems to the modern cloud data platform. Oversee source-to-target mapping, data model redesign, and automated migration frameworks. Define strategy for retiring legacy ETLs and implementing equivalent or improved cloud-native solutions. Collaborate tightly with Oracle DBAs, business SMEs, and architects to ensure data integrity and continuity. Team Leadership & Stakeholder Collaboration Provide technical leadership, mentoring, and coaching to data engineers. Engage with cross-functional teams (Architecture, DevOps, Analytics, Risk, Finance). Translate complex technical decisions into clear business impacts for senior stakeholders. Support and review development outputs, ensuring high quality and alignment with standards. Change Management Control Comply with change management processes for production deployments and environment updates. Ensure documentation and configuration records meet audit requirements.

Lead Software Engineer / Developer (Python Full Stack) Oxford / WFH to £80k Opportunity to take ownership of the technology strategy, architecture and software platforms that power a growing motorsport and technology business. As the Lead Software Engineer you will shape the future of the engineering function, influence key business decisions and build a high performing team around you whilst remaining hands-on with technology and product delivery. Collaborating with senior leadership, you will define the technical roadmap, make key architectural decisions and drive the adoption of modern engineering practices across the organisation. You'll have significant autonomy to evolve the technology stack, introduce new tools and approaches and build scalable platforms that support real time operations, telemetry, analytics, reporting and AI-enabled workflows used by engineers, operators and decision makers across the business. Location / WFH: You'll join the team near Oxford / Bicester three days a week with flexibility to work from home twice a week. About you: You have achieved a BSc or MSc degree in Computer Science, Software Engineering, Mathematics, Physics or a related technical discipline You have strong software engineering experience with a broad range of skills: Python, APIs, SQL, data driven applications, JavaScript, React, data visualisation You have a strong understanding of software architecture, clean code, testing and scalable system design You have technical leadership skills including experience of reviewing code, mentoring developers or leading technical delivery in a small team You're comfortable using AI, LLMs or agentic development tools in day-to-day software development You have a good knowledge of Docker, Kubernetes, AWS or similar cloud infrastructure You're collaborative and can clearly communicate with business stakeholders to explain technical strategy What's in it for you: Salary to £80k Equity Impactful role with excellent progression opportunities as the company scales Apply now to find out more about this Lead Software Engineer / Developer (Python Full Stack) opportunity. JBRP1_UKTJ

Senior Data Engineer £75,000-£85,000 Azure, Databricks, SQL, PowerBI Manchester, fortnightly travel to office InsureTech influencing home insurance & mortgage services I am working with an insuretech business who have been a fore of the general insurance and mortgage industry for the best part of 20 years. Their mission is to revolutionise this space through data-driven strategies and cutting-edge technology. With the data team at the heart of this transformation, they are looking for a Senior Data Engineer who will use the latest tools and tech to simplify the insurance and mortgage process for their customers. The role As a Senior Data Engineer you'll be responsible for designing, developing and maintaining data infrastructure with a particular focus on Azure Data Platform technologies. Collaborating across teams, you'll ensure systems are robust, scalable and optimised for advanced analytics and reporting. What you'll be doing You will build and optimise data architecture to support growth and business needs. You will develop and maintain data pipelines using Azure Data Factory and Databricks. You will design and manage Azure SQL databases. You will create insightful reports and dashboards using PowerBI. You will collaborate on CI/CD pipelines and ensure smooth system integration. You will contribute to the development of APIs and functions apps where required. What they are looking for Expertise with Azure Data Platform technologies, including Data Factory and Databricks. Skilled with PowerBI for data visualisation and reporting. Strong understanding of data warehousing concepts. Experience with CI/CD and API development would be a real nice to have but by no means essential. Tech Stack : Azure, Databricks, Data Factory, SQL, PowerBI What's in it for you Company pension scheme. Annual leave increasing with length of service. Life insurance and private medical insurance. EMI scheme to share the success of the business. Access to the Employee Assistance Programme. On-site gym membership and personal training sessions with Ultimate Performance Fitness. If you are interested in finding out more, please apply or contact me directly! Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.

Role: Senior Data Engineer Rate : £700 per day inside IR35 Duration : 4 months + Ext Location : National - London travel required (hybrid) Clearance : Active SC clearance required Are you a Senior Data Engineer with experience in modern, cloud-native data platforms and a drive to shape performance-led digital delivery? We are hiring on behalf of a central government programme undergoing a transformative journey to enhance data-driven decision-making at scale. The Opportunity - Senior Data Engineer The Senior Data Engineer will join a multi-disciplinary team working to redefine how performance is measured and managed across a large, national directorate. The team has already delivered an MVP dashboard using Amazon QuickSight, now in active use and is moving into an exciting rebuild phase with a fully automated, code-first approach. This is more than a dashboard project - it's a strategic initiative to improve organisational health, leadership alignment, and delivery effectiveness through better data foundations. The Senior Data Engineer play a key role in transforming manual pipelines into scalable, automated solutions within a modern analytics platform, while embedding AI-native tools and working in lean, product-focused ways. Key Responsibilities - Senior Data Engineer Rebuild and optimise existing data pipelines, reducing manual effort and improving reliability Lead on structuring data to align with performance, delivery, and leadership metrics Work with cloud-native tooling (AWS, dbt, Airflow) to build scalable data infrastructure Collaborate with digital, performance, and portfolio teams to drive cross-functional delivery Champion data quality, completeness, and usability at every stage of the data lifecycle Support experimentation with AI tools such as GitHub Copilot and ChatGPT to enhance delivery Skills & Experience - Senior Data Engineer Strong hands-on experience building and maintaining automated data pipelines Advanced proficiency in Python and SQL Experience with dbt and strong understanding of data modelling (e.g., star schema) Proficient with orchestration tools such as Airflow Comfortable working with AWS services (Glue, S3, etc.) or similar cloud platforms Experience with Git, GitHub Actions and CI/CD workflows Confident engaging stakeholders to shape technical solutions around real-world needs Comfortable iterating based on user feedback and operating in agile, product-oriented teams Open to using AI tooling and agile delivery methodologies to enhance engineering outcomes This is a unique chance to contribute to a high-impact public sector transformation, where your work will directly influence strategic leadership and operational performance. If you thrive in environments where data is central to decision-making and innovation is encouraged, we'd love to hear from you. Apply now to discuss this role in more detail.

. Senior Data Engineer - Search and AI Platform About the role: The Search and AI Platform supports core products such as Scopus, ScienceDirect, and AI driven research solutions. As a Senior Data Engineer, you will help design, build, and run reliable data pipelines and services that support large scale search and analytics use cases. You will work hands on while also supporting and guiding other engineers. About the team: The Search and AI Platform is Elsevier's agentic data platform, which powers products such as Scopus, ScienceDirect, and our next-generation LLM-powered research systems. The platform utilises agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data, delivering insights to the scientific community that enable them to collaborate more effectively, work smarter, and produce high-quality research more efficiently. Responsibilities: Design, build, and maintain scalable data pipelines and services Develop batch and ELT/ETL data workflows for ingesting and processing large datasets Work with technologies such as Python, Java, Spark, SQL, and Airflow Apply good software engineering practices, including testing, documentation, and CI/CD Contribute to cloud based systems (AWS), focusing on reliability, monitoring, and automation Collaborate with product, platform, and data science partners to deliver meaningful outcomes Support team learning through code reviews and knowledge sharing Requirements: Experience working as a data or software engineer on production systems Strong skills in Python and experience with at least one backend language (such as Java) Understanding of data engineering concepts such as data lakes, batch processing, and distributed systems Experience building or operating data pipelines using tools like Spark and Airflow Familiarity with cloud platforms (AWS preferred) and production monitoring Clear communication skills and a collaborative approach to problem solvingJoin our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Home, office, or commuting allowance. Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all.With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.Elsevier is part of RELX Group.Let's shape progress together. Join

A global leader in information and analytics is seeking a Senior Data Engineer to design and maintain data pipelines for core products. The ideal candidate will have strong skills in Python and Java, along with experience in cloud-based systems such as AWS. This role promotes innovation and collaboration to enhance data-driven insights and solutions. Various well-being initiatives and flexible working hours are also offered to support a healthy work-life balance.

Senior Software Engineer, AI Location: London (Hybrid: 2 days in office, 3 days remote) Position Type: Permanent Are you a seasoned software engineer passionate about pushing the boundaries of what's possible with Generative AI? We are a leading global provider of financial information services, insights, data, and analytics. We are currently seeking a Senior Software Engineer, AI to join our team in London. In this role, you will drive high-impact AI initiatives, design production-ready generative AI platforms, and build scalable, enterprise-grade solutions that shape the future of global markets. What We Offer Transformative AI Impact: Design and deploy production-ready GenAI platforms, multi-agent systems, and intelligent automation that reshape products in real-time. Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection of advanced engineering and product development within a collaborative, innovation-driven environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build Robust Infrastructure: Develop enterprise-scale APIs (FastAPI) and architect comprehensive cloud-based AI infrastructure on AWS/Azure optimized for scalability and performance. Demonstrate Full-Stack Excellence: Apply your expertise across the entire technology stack to seamlessly integrate AI capabilities into user-facing products and backend systems. What You Need to Have Experience: 7+ years of professional experience designing, developing, and deploying production-grade applications, with 5+ years specifically in full-stack enterprise software engineering. Core Skills: Advanced Python programming with strong backend development capabilities. AI Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Senior Python Developer - Data Platform and AI Location: London or Glasgow (Hybrid) We're partnering with a leading global financial institution to hire a Senior Python Developer to join a high-impact Data & Analytics engineering team supporting front-office functions. This is a hands-on engineering role focused on building and enhancing a data governance platform that underpins advanced analytics and AI use cases across the business. The Role You'll be part of a globally distributed engineering team responsible for delivering a centralised data platform used by quantitative research and trading teams. Your work will focus on extending a key internal data governance tool, developing both backend services and user-facing components that enable users to manage and enforce data policies effectively. This role offers the opportunity to work at the intersection of data, engineering, and AI, with exposure to modern technologies including LLM integrations. What You'll Be Doing Design, build, and maintain Python-based backend services Develop and enhance data governance tooling used across the business Contribute to UI components to improve user experience Own the full development lifecycle (design build deploy support) Collaborate with business stakeholders, product teams, and global engineers Support AI/LLM-enabled data access workflows Perform code reviews and mentor junior engineers Ensure systems are scalable, stable, and secure Core Experience Strong experience in software engineering Strong Python development experience in production environments Solid experience working with Linux/Unix systems Good working knowledge of SQL Experience with modern SDLC tools (e.g. Git, Jira, CI/CD pipelines) Technical & Domain Experience building backend systems, APIs, or data-driven platforms Exposure to data-centric environments or data governance concepts Understanding of testing frameworks and best engineering practices Interest or experience in AI / prompt engineering tools Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.